A New Frequency Confined Gramians-based Model Order Reduction Technique

Kumari Kanchan, Deepak Kumar, V. Sreeram
{"title":"A New Frequency Confined Gramians-based Model Order Reduction Technique","authors":"Kumari Kanchan, Deepak Kumar, V. Sreeram","doi":"10.1109/ANZCC59813.2024.10432826","DOIUrl":null,"url":null,"abstract":"Model order reduction (MOR) is an approach that provides a lower-order system for a given higher-order system. Sometimes, specific frequency restrictions constitute a significant focus for practical applications, such as controller and filter designs that lead to frequency-limited MOR. Gwaronski and Juang were the first to propose a method for frequency-limited MOR. However, this method suffers from instability issues. Hence, this paper presents a new algorithm to overcome the instability issue and provide lower approximation error for the specified frequency range than existing methods. Two numerical examples are included to exhibit the benefits of the suggested approach. An eigenvalue analysis for the reduced-order models is also done to show the stability of the obtained reduced models.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"103 2","pages":"121-124"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 Australian & New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC59813.2024.10432826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Model order reduction (MOR) is an approach that provides a lower-order system for a given higher-order system. Sometimes, specific frequency restrictions constitute a significant focus for practical applications, such as controller and filter designs that lead to frequency-limited MOR. Gwaronski and Juang were the first to propose a method for frequency-limited MOR. However, this method suffers from instability issues. Hence, this paper presents a new algorithm to overcome the instability issue and provide lower approximation error for the specified frequency range than existing methods. Two numerical examples are included to exhibit the benefits of the suggested approach. An eigenvalue analysis for the reduced-order models is also done to show the stability of the obtained reduced models.
基于频率限制格拉米安的模型阶次削减新技术
模型阶次缩减(MOR)是一种为给定的高阶系统提供低阶系统的方法。有时,特定的频率限制是实际应用中的一个重要焦点,如控制器和滤波器设计会导致限频 MOR。Gwaronski 和 Juang 最早提出了限频 MOR 方法。然而,这种方法存在不稳定性问题。因此,本文提出了一种新算法来克服不稳定性问题,并在指定频率范围内提供比现有方法更低的近似误差。本文包含两个数值示例,以展示所建议方法的优势。本文还对简化阶模型进行了特征值分析,以显示所获得的简化模型的稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信